Cargando…
A Wavelet Scattering Feature Extraction Approach for Deep Neural Network Based Indoor Fingerprinting Localization †
The performance of an Artificial Neural Network (ANN)-based algorithm is subject to the way the feature data is extracted. This is a common issue when applying the ANN to indoor fingerprinting-based localization where the signal is unstable. To date, there is not adequate feature extraction method t...
Autores principales: | Soro, Bedionita, Lee, Chaewoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514606/ https://www.ncbi.nlm.nih.gov/pubmed/31014005 http://dx.doi.org/10.3390/s19081790 |
Ejemplares similares
-
Fingerprint Feature Extraction for Indoor Localization †
por: Jiang, Jehn-Ruey, et al.
Publicado: (2021) -
Neural-Network-Based Localization Method for Wi-Fi Fingerprint Indoor Localization
por: Zhu, Hui, et al.
Publicado: (2023) -
Secure Indoor Localization Based on Extracting Trusted Fingerprint
por: Luo, Juan, et al.
Publicado: (2018) -
Hybrid Wireless Fingerprint Indoor Localization Method Based on a Convolutional Neural Network
por: Liu, Zhenyu, et al.
Publicado: (2019) -
Wavelet Scattering and Neural Networks for Railhead Defect Identification
por: Jin, Yang
Publicado: (2021)